A Handprinted Character Recognition System Using Image Transformation Based on Partial Inclination Detection (Special Issue on Character Recognition and Document Understanding)
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概要
- 論文の詳細を見る
In recognition of handprinted characters, it is important to dissolve distortions of character caused by writer's habits. In order to dissolve distortions and to obtain better features, many image conversion methods have been proposed. But there are distortions that cannot be dissolved by these methods. One example is the case of parallel strokes which are spread out in fan shape. In this paper, in order to dissolve distortions, we propose a new image conversion method, "Transformation based on Partial Inclination Detection (TPID)", which is employed just before normalization, and is intended to dissolve several kinds of distortions in images of each character. TPID constructs transformation functions from inclination angles which are detected in some subspaces of the character's image, and converts images using the transformation functions. TPID is especially suitable for correcting the inclinations of horizontal and vertical strokes of a character. This has a powerful impact on the quality of the characteristic features. In recognition experiments using ETL9B, the largest database of handprinted characters in Japan, we have obtained a recognition rate of 99.08%, which is the best to our knowledge.
- 社団法人電子情報通信学会の論文
- 1996-05-25
著者
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Aso Hirotomo
Department Of Communication Engineering Tohoku University
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SUZUKI Masato
Graduate School of Bioscience and Biotechnology and the COE21 program, Tokyo Institute of Technology
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Kato Naoki
The Central Research Laboratory Hitachi Ltd.
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Kato N
Graduate School Of Information Sciences Tohoku University
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Kato Nei
Graduate School Of Information Sciences (gsis) Tohoku University
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Nemoto Yoshiaki
Graduate School Of Information Science Tohoku University
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Suzuki M
Japan Advanced Inst. Sci. And Technol. Ishikawa‐ken Jpn
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